Degrees and Majors offered through the Computer & Information Systems Department
INFS6482 - Applied Machine Learning
Spring 2018
This course will cover the theory and practical application of machine learning algorithms. Students in this course will study supervised and unsupervised learning algorithms. Students will apply machine learning algorithms to datasets to uncover patterns using R and Python. Topics covered include: cluster analysis and association rules, generalized linear models, bagging, kernel methods, random forest, support vector machines, neural networks, k-nearest neighbor, among other algorithms.
Prerequisite -- CI555.
3 Credits
Prerequisite -- CI555.
3 Credits
Course Registration will occur in the Banner system. For information on how to register and planning tools to ensure that you're Ready to Register please visit: Introducing Banner Self-Service Preparing to register Login to Banner Self-Service |
M Monday
T Tuesday
W Wednesday
R Thursday
F Friday
S Saturday
U Sunday
Schedule Book for All Active and Available Future Terms, Course starting with INFS6482
Page 1 of 1
Credits:
3
Days: APPT
Location: Moon
Room:
Days: APPT
Location: Moon
Room:
Time:
-
Instructor: Stewart
Session: 3 (01/16/2024 - 03/08/2024)
Term: Spring 2024
Instructor: Stewart
Session: 3 (01/16/2024 - 03/08/2024)
Term: Spring 2024
Credits:
3
Days: T
Location: Moon
Room: Business School 118
Days: T
Location: Moon
Room: Business School 118
Time:
06:00-10:00 pm
Instructor: Stewart
Session: 3 (08/26/2024 - 10/18/2024)
Term: Fall 2024
Instructor: Stewart
Session: 3 (08/26/2024 - 10/18/2024)
Term: Fall 2024
Credits:
3
Days: W
Location: Moon
Room: Wheatley Center 114
Days: W
Location: Moon
Room: Wheatley Center 114
Time:
06:00-10:00 pm
Instructor: Shubock
Session: 5 (10/21/2024 - 12/13/2024)
Term: Fall 2024
Instructor: Shubock
Session: 5 (10/21/2024 - 12/13/2024)
Term: Fall 2024
Credits:
3
Days: ONLINE
Location: Internet/ Online
Room:
Days: ONLINE
Location: Internet/ Online
Room:
Time:
-
Instructor: Shubock
Session: 4 (10/19/2024 - 12/13/2024)
Term: Fall 2024
Instructor: Shubock
Session: 4 (10/19/2024 - 12/13/2024)
Term: Fall 2024
Course is taught Fully Online.